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A prophage-encoded sRNA limits lytic phage infection of adherent-invasive E. coli | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results A prophage-encoded sRNA limits lytic phage infection of adherent-invasive E. coli Robert S. Brzozowski , Amelia K. Schmidt , Nicole L. Pershing , Annika Dankwardt , Dominick R. Faith , Alex C. Joyce , Andrew Maciver , View ORCID Profile William S. Henriques , Shelby E. Andersen , Blake Wiedenheft , Sherwood R. Casjens , View ORCID Profile Breck A. Duerkop , June L. Round , View ORCID Profile Patrick R. Secor doi: https://doi.org/10.1101/2025.05.06.652453 Robert S. Brzozowski 1 Division of Biological Sciences, University of Montana , Missoula, MT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Amelia K. Schmidt 1 Division of Biological Sciences, University of Montana , Missoula, MT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Nicole L. Pershing 2 Department of Pediatrics, Division of Pediatric Infectious Diseases, University of Utah School of Medicine , Salt Lake City, Utah, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Annika Dankwardt 2 Department of Pediatrics, Division of Pediatric Infectious Diseases, University of Utah School of Medicine , Salt Lake City, Utah, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Dominick R. Faith 4 Department of Microbiology & Cell Biology, Montana State University , Bozeman, MT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Alex C. Joyce 4 Department of Microbiology & Cell Biology, Montana State University , Bozeman, MT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Andrew Maciver 1 Division of Biological Sciences, University of Montana , Missoula, MT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site William S. Henriques 4 Department of Microbiology & Cell Biology, Montana State University , Bozeman, MT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for William S. Henriques Shelby E. Andersen 5 Department of Immunology and Microbiology, School of Medicine, University of Colorado – Anschutz Medical Campus, School of Medicine , Denver CO, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Blake Wiedenheft 4 Department of Microbiology & Cell Biology, Montana State University , Bozeman, MT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Sherwood R. Casjens 3 Department of Pathology, University of Utah School of Medicine, Huntsman Cancer Institute, Division of Microbiology and Immunology , Salt Lake City, UT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site Breck A. Duerkop 5 Department of Immunology and Microbiology, School of Medicine, University of Colorado – Anschutz Medical Campus, School of Medicine , Denver CO, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Breck A. Duerkop June L. Round 3 Department of Pathology, University of Utah School of Medicine, Huntsman Cancer Institute, Division of Microbiology and Immunology , Salt Lake City, UT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: june.round{at}path.utah.edu patrick.secor{at}montana.edu Patrick R. Secor 4 Department of Microbiology & Cell Biology, Montana State University , Bozeman, MT, USA 6 Center for Biofilm Engineering, Montana State University , Bozeman, MT, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Patrick R. Secor For correspondence: june.round{at}path.utah.edu patrick.secor{at}montana.edu Abstract Full Text Info/History Metrics Supplementary material Preview PDF Abstract Prophages are prevalent features of bacterial genomes that can reduce susceptibility to lytic phage infection, yet the mechanisms involved are often elusive. Here, we identify a small RNA ( svsR ) encoded by the lambdoid prophage NC-SV in adherent-invasive Escherichia coli (AIEC) strain NC101 that confers resistance to lytic coliphages. Comparative genomic analyses revealed that NC-SV–like prophages and svsR homologs are conserved across diverse Enterobacteriaceae. Transcriptional analyses reveal that svsR represses maltodextrin transport genes, including lamB , which encodes the outer membrane maltoporin LamB—a known receptor for multiple phages. Nutrient supplementation experiments show that maltodextrin enhances phage adsorption, while glucose suppresses it, consistent with established effects of these sugars on lamB expression. In vivo, we compared wild-type NC101 and a prophage-deletion strain (NC101 ΔNC-SV ) in mice to assess the impact of NC-SV on lytic phage susceptibility. Although intestinal E. coli densities remained stable across groups, animals colonized with NC101 exhibited markedly reduced phage burdens in both the intestinal lumen and mucosa compared to mice colonized with NC101 ΔNC-SV . This reduced phage pressure was associated with increased dissemination of NC101 to extraintestinal tissues, including the spleen and liver. Together, these findings highlight a nutrient-responsive, prophage-encoded mechanism that protects AIEC from phage predation and may promote bacterial persistence and dissemination in the inflamed gut. Introduction Bacteriophages (phages) are abundant viruses that infect bacteria and play a key role in shaping microbial communities. Their impact is especially significant in densely populated environments like the gut. Many phages exist as prophages—viral genomes integrated into bacterial chromosomes—that often provide competitive advantages to their hosts. One well-established function of prophages is protection against competing phages, enhancing host survival in phage-rich niches [ 1 – 9 ]. However, the specific mechanisms by which individual prophages confer this resistance are highly diverse and not yet fully understood. Environmental factors such as diet shape the gut microbiota and contribute to dysbiosis in inflammatory bowel diseases (IBD) like Crohn’s disease and ulcerative colitis [ 10 – 12 ]. One example is maltodextrin, a common dietary additive which degrades mucus integrity, exacerbates inflammation [ 13 , 14 ], and promotes the expansion of adherent-invasive Escherichia coli (AIEC) [ 15 , 16 ], a pathobiont enriched in the IBD gut [ 10 , 11 , 17 , 18 ]. Maltodextrin uptake in E. coli is mediated by the outer membrane maltoporin LamB, a known receptor for several coliphages, including lambda and others [ 19 – 22 ]. Thus, metabolic responses to dietary components may directly influence phage susceptibility. As enteric bacteria proliferate in the inflamed gut, so too do phages that target them [ 6 , 7 , 23 – 25 ]. This expansion of enteric phages can reshape microbial communities and potentially influence IBD progression [ 24 , 26 , 27 ]. Despite this, how pathobionts like AIEC persist and replicate amid rising phage pressure remains unclear. In this study, we identify a lambda-like prophage, NC-SV, in AIEC strain NC101 that confers protection against some lytic phages by reducing virion adsorption to the bacterial surface. Using RNA sequencing, we found that NC-SV represses maltodextrin transport genes, including the phage receptor lamB [ 21 , 22 ]. Previous studies have shown that maltodextrin upregulates lamB expression while glucose represses it via catabolite repression [ 28 ]. Consistent with this, we observed that maltodextrin enhances phage adsorption, whereas glucose reduces it. We further identified a prophage-encoded small RNA (sRNA) that downregulates lamB and reduces phage adsorption. Together, our findings reveal a mechanism by which prophages modulate host nutrient uptake and surface receptor expression to protect against viral infection. This strategy may be particularly advantageous to AIEC in the altered nutritional landscape of the inflamed IBD gut [ 29 – 33 ]. Results The NC-SV prophage protects E. coli NC101 from lytic phage infection by reducing virion adsorption Many phages that inhabit the gut reside as prophages integrated into the genome of their bacterial host [ 34 ]. The genome of AIEC strain NC101 contains three intact prophages with three distinct morphotypes including Siphovirus (NC-SV), Myovirus (NC-MV), and Inovirus (NC-Ino) ( Table 1 ). NC-SV is related to phage lambda and is integrated at the phage 21 attachment site within the isocitrate dehydrogenase gene ( icd ) in the E. coli NC101 chromosome. NC-SV encodes lambda-homologous head, tail, DNA replication, homologous recombination, lysis, integration, and regulatory gene modules, which are arranged in the same genomic order as in lambda, supporting their evolutionary relatedness ( Fig S1 ). NC-MV is integrated between E. coli genes ybjL and rcdA . NC-Ino is a previously undescribed filamentous Inoviridae phage. Some E. coli genomes ( e.g., strain SF-468, accession No. CP012625 ) are neatly missing the 9,335 bp Inovirus prophage while other bacteria ( e.g., Yersinia pestis CO92 and Salmonella enterica AR_0127 as well as Shigella , Citrobacter and Proteus strains) carry very similar Inoviridae prophage elements in different genomic contexts. View this table: View inline View popup Download powerpoint Table 1. Prophages in the E. coli NC101 chromosome. Download figure Open in new tab Figure S1. Comparative analysis of NC-SV and lambda prophages. Genomic alignment between the NC-SV prophage and phage Lambda. Arrows represent predicted open reading frames, colored by functional module. Shading between genomes indicates regions of nucleotide identity (0–100%). Prophages frequently encode mechanisms that protect their bacterial host from infection by competing phages [ 5 , 8 ]. We hypothesized that one or more of the intact prophages listed in Table 1 would protect NC101 from lytic phage infection. To test this hypothesis, we deleted each prophage from the NC101 chromosome and challenged with lytic phages isolated from wastewater (phages RSB01–04). Genomic analyses of the RSB wastewater phages reveal that RSB01 and RSB03 are both Veterinaerplatzviruses that share 51.7% nucleotide homology while RSB02 and RSB04 are related Kuraviruses that share 60.7% nucleotide homology ( Fig S2 ). Kuraviruses are exemplified by the lytic E. coli phage øEco32, whose lifecycle has been characterized [ 35 , 36 ], and are phylogenetically related to Veterinaerplatzviruses, which form a distinct but allied clade within the same viral order. Download figure Open in new tab Figure S2. RSB wastewater phage genome comparisons. Phages RSB01-04 were isolated from the headwaters of the wastewater treatment plant in Missoula, Montana, USA. Phage RSB01 (44,523 bp) and RSB03 (43,192 bp) are both Veterinaerplatzviruses that share 51.7% nucleotide homology while phages RSB02 (76,472 bp) and RSB04 (76,787 bp) are related Kuraviruses that share 60.7% nucleotide homology. The genome comparisons shown here were generated by Clinker and show the percent identity of proteins encoded by open reading frames in each phage genome. Sensitivity to lytic phage infection remained unchanged in NC101 ΔNC-Ino and NC101 ΔNC-MV ( Fig 1A , Fig S3A ). However, plaque size for lytic phages RSB01 and RSB03 was significantly larger in NC101 ΔNC-SV compared to wild-type cells, while no significant differences were observed for RSB02 and RSB04 in any strain tested ( Fig 1A and B , Fig S3A-D ). In liquid culture, RSB01 and RSB03 were also more virulent against NC101 ΔNC-SV than against wild-type NC101 ( Fig 1C ), whereas no differences in virulence were observed for RSB02 and RSB04 in any strain tested ( Fig S3E-G ). Additionally, we did not observe any growth defects in uninfected cultures of any prophage mutant compared to wild-type NC101 ( Fig 1C and Fig S3E-G ). These findings suggest that the NC-SV prophage encodes a defense mechanism effective against specific lytic phages. Download figure Open in new tab Figure 1: The NC-SV prophage protects E. coli NC101 from lytic phage infection by reducing virion adsorption. (A) Plaques formed by wastewater phage isolate RSB03 on E. coli NC101 or the indicated prophage mutants. Representative images are shown. Scale bars represent 10 mm. (B) The surface area of RSB03 plaques formed on lawns of the indicated strains was measured, N=50 plaques per condition, ****P<0.0001 compared to NC101; ns, not significant. (C) Growth (OD 600 ) of NC101 and NC101 ΔNC-SV was measured after infection with RSB03 (MOI=1). (D) The percentage of adsorbed RSB03 virions was measured in NC101 or NC101 ΔNC-SV cells at the indicated times post infection, MOI=1. Data are the mean ± SEM of three experiments, **P<0.01, ***P<0.001. (E) Representative transmission electron microscopy images of negatively stained cells of the indicated strains 60 minutes post-infection with phage RSB03 (MOI 1). Scale bars represent 500 nm (50 nm in the inlay). An increase in plaque size for phages RSB01 and RSB03 but not RSB02 or RSB04 suggests that a cell surface receptor used by RSB01 and RSB03 may be differentially regulated by NC-SV, which could affect phage adsorption to host cells. To test this, we performed phage adsorption assays on NC101 and NC101 ΔNC-SV . Phage RSB01 and RSB03 adsorption was significantly (P<0.01) higher in NC101 ΔNC-SV compared to NC101 cells ( Fig 1D , Fig S3H ) while adsorption of phages RSB02 and RSB04 was not affected ( Fig S3I and J ), indicating that RSB02 and RSB04 use a different cell surface receptor than RSB01 and RSB03. Examination of RSB03-infected cells by transmission electron microscopy revealed that NC101 ΔNC-SV cells appear more prone to lysis by RSB03 compared to NC101 cells ( Fig 1E ). Overall, these data indicate that the NC-SV prophage regulates a cell surface factor to reduce adsorption of some phage types to E. coli NC101. Download figure Open in new tab Figure S3. The NC-SV prophage protects E. coli NC101 from infection by some, but not all lytic phages by reducing virion adsorption. (A) Representative images of plaques formed by wastewater phage isolates RSB01, RSB02, or RSB04 on WT NC101 or the indicated prophage mutants are shown. (B-D) The surface area of plaques formed on lawns of the indicated strains was measured, N=50 plaques per condition, ****P<0.0001; ns = not significant. (E-G) Growth of WT NC101 and NC101 ΔNC-SV was measured after infection with the indicated phages at an MOI of one. (H-J) The percentage of adsorbed virions was measured in WT NC101 or NC101 ΔNC- SV cells at the indicated times post infection, MOI=1. Data are the mean ± SEM of three experiments, ***P<0.001. The NC-SV prophage restricts lytic phage replication in the mouse intestine Although prophage mediated inhibition of infection by competing phages is well characterized in vitro , infection dynamics in more complex ecological systems such as the gut are less well characterized. To test activity of RSB03 in the mouse intestine, we colonized specific pathogen-free C57BL/6 male mice with NC101 and administered RSB03 or heat-inactivated RSB03 enterally ( Fig S4A ). Fecal E. coli densities remained stable and comparable between groups ( Fig S4B ), indicating that acute RSB03 administration did not affect bacterial colonization density. RSB03 titers in fecal pellets were significantly higher and more sustained in NC101-colonized mice that received viable RSB03 compared to those given heat-killed RSB03. In mice given viable RSB03, PFUs were detected transiently shortly after administration and again between days 9 and 12 ( Fig S4C ). These results are consistent with lytic replication of RSB03 in the intestinal environment. Download figure Open in new tab Figure S4. Lytic phage RSB03 replicates in the mouse gut. (A) Schematic overview of the experimental design. Specific pathogen-free (SPF) C57BL/6 mice were stably colonized with NC101 E. coli followed by oral administration of either active or heat-inactivated RSB03 phage (3×10 7 PFU per dose, 2 doses, 7-hours apart). (B) Qualification of E. coli colony forming units (log 10 CFU/g feces) from fecal pellets. (C) Quantification of phage plaque-forming units (log 10 PFU/g feces) from fecal pellets; mice that received active RSB03 had significantly higher detectable PFU (P<0.0001) which was transiently detected the day of and up to 12 days after administration. Building on our in vitro findings, we hypothesized that the NC-SV prophage protects E. coli NC101 from lytic phage infection in vivo . To test this, germ-free C57BL/6 mice were colonized with NC101 or NC101 ΔNC-SV and treated daily with RSB03 phage for five days ( Fig 2A , Fig S5A ). Fecal E. coli density dropped approximately 2.6 log₁₀ CFU/g during treatment but remained stable thereafter in both groups, with no significant differences observed at either day 4 or day 15 ( Fig 2B–C ), consistent with endpoint tissue CFUs in the small intestine shown in Fig S5B . Download figure Open in new tab Figure 2. The NC-SV prophage restricts RSB03 phage replication and persistence in the mouse gut. (A) Serial quantification of E. coli log 10 CFU from fecal pellets, normalized to fecal sample weight (g). Vertical dotted lines indicate days of RSB03 administration. (B) Log 10 difference in E. coli density in feces from baseline to day 4 (last day of RSB03 treatment). (C) Log 10 difference in E. coli density in feces from baseline to day 15. ( D ) Serial quantification of plaque forming units (log 10 PFU) from fecal pellets, normalized to fecal sample weight (g); p <0.0001. (E) Log 10 difference in PFU from fecal pellets from baseline to day 4. (F) Log 10 difference in PFU from fecal pellets from baseline to day 4. (F) Log 10 difference in PFU from fecal pellets from baseline to day 15. ( G- I) Detectable E. coli (G) log 10 CFU, (H) RSB03 PFU, and (I) Phage:Host index min-max normalized log 10 difference of PFU-CFU, with 1 reflecting equal density for the indicated samples at endpoint (day 17). For bar plots, individual subjects are represented by dots overlaying the mean +/− 95% confidence interval. Significantly different groups are indicated by symbols or compact letter display. ns, not significant, *P<0.05, **P<0.01, ***P<0.001, ****P<0.0001. In contrast, phage titers in fecal pellets were significantly higher in NC101 ΔNC-SV colonized mice during and after treatment, with RSB03 detectable in most NC101 ΔNC-SV colonized mice but only transiently or not at all in those colonized with NC101 ( Fig 2D – F , Fig S5C ). At endpoint (day 17), NC101 ΔNC-SV mice exhibited higher phage loads throughout the gut, including colon contents, mucus, and tissue ( Fig 2H ), with similar trends in the small intestine observed in Fig S5C . Despite similar bacterial loads in tissue compartments ( Fig 2G , Fig S5B ), phage:host ratios were significantly elevated in mucus and tissue niches compared to feces ( Fig 2I , Fig S5D ), suggesting these sites may facilitate more efficient phage replication or persistence. Notably, NC101 ΔNC-SV mice exhibited higher phage burdens across gut and systemic sites ( Fig 2H–I , Fig S5C–D ) despite comparable E. coli densities ( Fig 2G , Fig S5B ), indicating that NC-SV limits lytic phage replication in the gut and may indirectly influence bacterial dissemination to extraintestinal tissues by modulating phage pressure. Download figure Open in new tab Figure S5. The NC-SV prophage is associated with reduced E. coli dissemination to extraintestinal tissues and lower lytic phage loads in the gut. (A) Schematic overview of experimental design. Germ-free C57BL/6 mice were stably colonized with either NC101 or NC101 ΔNC-SV E. coli , then administered 1×10 8 PFU RSB03 daily by gavage for five consecutive days. Fecal pellets, luminal contents, and tissues were collected for quantification of colony-forming units (CFU) and plaque forming units (PFU). ( B-D ) Detectable E. coli CFU (B), RSB03 PFU (C) and Phage:Host index (D, min-max normalized log difference of PFU-CFU, with 1 reflecting equal density) for the indicated samples at endpoint. SI, small intestine. For bar plots, individual subjects are represented by dots overlaying the mean +/− 95% confidence interval. Significantly different groups are indicated by compact letter display. The NC-SV prophage downregulates lamB and other maltodextrin transport genes and reduces phage adsorption to E. coli NC101 To gain a deeper understanding of how the NC-SV prophage affects bacterial responses to lytic phage infection, we performed RNAseq on wild-type NC101 and NC101 ΔNC-SV cells ten minutes post-infection with lytic phage RSB03 (MOI=1). Overall, 235 bacterial genes were significantly (P<0.05) differentially regulated at least ±two-fold in NC101 compared to NC101 ΔNC-SV ( Fig 3A , Dataset 1 ). Gene enrichment analyses revealed that genes associated with carbohydrate transport, amino acid metabolism, and central carbon metabolism were significantly (P <0.05) over-represented ( Fig 3B ). Download figure Open in new tab Figure 3. The NC-SV prophage transcriptionally regulates maltodextrin transport and carbon metabolism in response to lytic phage infection. RNAseq was performed on mid-log NC101 or NC101 ΔNC-SV cells growing in LB broth 10 minutes post infection with lytic phage RSB03 (MOI=1). (A) Volcano plot showing the 235 differentially expressed genes in NC101 compared to NC101 ΔNC-SV with a ±2-fold change and P≤0.05. Data are representative of quadruplicate experiments. (B) Gene enrichment analysis was performed on significantly differentially regulated genes shown in panel A. The downregulation of maltodextrin transport genes ( lamB, malE, malF, malG, malK, Fig 3A ) by NC-SV hints at a possible mechanism for reduced phage adsorption. The maltodextrin transporter LamB, which is named after lamb da phage, is used as a receptor by numerous coliphages including lambda, K10, TP1, Φ21, and Bp7 [ 21 , 22 , 37 – 39 ]. Additionally, LamB expression and accessibility on the cell surface directly influences the efficiency of lambda phage adsorption to E. coli [ 40 ], making it a logical target during phage-bacteria interactions. We hypothesized that if NC-SV is regulating LamB expression to reduce phage adsorption to E. coli NC101, then lambda phage should exhibit infection phenotypes similar to those of phage RSB03 on E. coli NC101. However, lambda failed to infect E. coli NC101. This outcome might be due to mutations in the NC101 LamB protein that are localized to its extracellular region—the primary site of phage interaction [ 41 ] ( Fig S6 ). Download figure Open in new tab Figure S6. LamB sequence and structure comparison between E. coli NC101 and MG6155. (A) LamB protein sequences were aligned with Clustal. Differences between the two sequences are highlighted in pink. (B) AlphaFold protein predictions of LamB trimers from E. coli NC101 and MG6155 are shown in orange and blue, respectively. Residues that are different in NC101 and MG6155 LamB proteins are highlighted in pink. LamB transports maltodextrin, a glucose polymer, across the outer membrane and into the cell. While LamB is best characterized for transporting maltodextrins— including maltose, maltotriose, and longer linear α-1,4-linked oligosaccharides—it can also facilitate the passage of some other linear oligosaccharides. However, it does not effectively transport monosaccharides like glucose, nor more complex or branched disaccharides and oligosaccharides such as sucrose, lactose, or raffinose, due to structural incompatibility with its narrow, hydrophilic channel [ 42 ]. When glucose monomers are abundant, E. coli downregulates maltodextrin transport genes via catabolite repression [ 28 ]. Consequently, LamB expression decreases, limiting superfluous maltodextrin import and also reducing the number of LamB receptors available for phages [ 40 ]. In contrast, when glucose is scarce but maltodextrin polymers are present, LamB surface expression is upregulated [ 20 ], increasing phage adsorption to E. coli [ 40 ]. If NC-SV is regulating LamB expression to reduce competing phage adsorption to E. coli NC101, then glucose should reduce RSB03 virion adsorption while maltodextrin should increase RSB03 adsorption. To test this, we supplemented E. coli NC101 with 40 mM glucose or maltodextrin. These concentrations were selected because they are comparable to those observed in the intestinal lumen [ 14 , 43 , 44 ]. After 30 minutes, NC101 lawns were infected with lytic phage. On lawns of NC101 supplemented with glucose, RSB03 plaque size was significantly (P<0.0001) smaller compared to unsupplemented controls ( Fig 4A ). Glucose also reduced RSB03 adsorption to NC101 cells ( Fig 4B ) but had minimal impact on RSB01, RSB02, and RSB04 adsorption ( Fig S7 ). Conversely, maltodextrin significantly (P<0.0001) increased RSB03 plaque size on lawns of NC101 ( Fig 4A ), which was associated with an increase in RSB01 and RSB03 adsorption to NC101 cells, but not RSB02 or RSB04 ( Fig 4C ; Fig S7 ). Finally, sucrose (40 mM), which does not modulate LamB expression [ 45 ], had no effect on RSB03 plaque size ( Fig 4A ) nor adsorption to E. coli NC101 ( Fig 4D ). Collectively, these results are consistent with the idea that phages RSB01 and RSB03 utilize the maltoporin LamB as a cell surface receptor and that the NC-SV prophage regulates lamB expression to defend against competing phages. Download figure Open in new tab Figure 4: Exogenous sugars modulate phage adsorption to E. coli NC101. E. coli NC101 was grown in diluted (10%vol/vol) LB broth or agar supplemented with 40 mM of the indicated carbon sources at 37°C. (A) RSB03 plaque areas on NC101 lawns were measured after 18 hours. N = at least 30 plaques per condition; ****P<0.0001 compared to the no supplement control; ns, not significant. (B-D) The percentage of adsorbed RSB03 virions were measured in cultures supplemented with 40 mM of the indicated sugar at the indicated times post infection with an initial MOI of one. Data are the mean ± SEM of three experiments. Download figure Open in new tab Figure S7. The impact of glucose and maltodextrin on phage virion adsorption to E. coli NC101. The percentage of adsorbed RSB03 virions were measured at the indicated times post infection with an initial MOI of one. Data are the mean ± SEM of three experiments. An NC-SV-encoded small RNA transcriptionally regulates maltodextrin transport genes and reduces phage adsorption to E. coli NC101 Because NC-SV deletion altered competing phage adsorption, we hypothesized that NC-SV encodes gene(s) that influence phage adsorption to E. coli NC101. It has been previously shown that another lambdoid prophage, e14, that integrates into the same genomic locus as NC-SV (the icd gene) encodes a small RNA (sRNA) called co293 that alters cellular metabolism [ 46 – 51 ]. Specifically, co293 post-transcriptionally regulates the transcription factors HcaR and FadR [ 46 ], resulting in the upregulation of propionate degradation pathways and downregulation of glycolysis and the TCA cycle [ 46 , 52 ]. We hypothesized that NC-SV may encode a co293-like sRNA that modulates bacterial sugar transport and phage adsorption. To test this, we aligned the co293 sRNA sequence from E. coli MG1655 to the NC-SV genome and identified a 77-nucleotide region with 58% sequence identity (45/77) located at the 3′ end of the cI phage repressor gene on the positive strand ( Fig 5A and B ). The cI repressor is a conserved transcriptional regulator in lambdoid phages that maintains lysogeny by repressing lytic gene expression [ 53 ]. We refer to this candidate regulatory RNA as svsR (NC- SV sR NA). Secondary structure prediction of svsR revealed a stable hairpin structure ( Fig 5C ), a common feature of bacterial sRNAs that facilitates RNA stability and target binding [ 54 , 55 ]. Download figure Open in new tab Figure 5. The NC-SV prophage encodes a conserved co293-like small RNA, svsR, found across Enterobacteriaceae. (A) Genome organization of the NC-SV prophage. The predicted svsR sRNA is encoded on the positive strand at the 3′ end of the cI phage repressor gene (highlighted in purple). (B) Sequence alignment between svsR and the co293 sRNA from E. coli MG1655 reveals 58% identity (45/77 nucleotides). (C) Predicted secondary structure (left) and AlphaFold3 structural model (right) of svsR , reveal a stable hairpin conformation. (D) Conservation of svsR among NC-SV–like prophages in E. coli genomes with ≥30% NC-SV genome coverage. Each point represents a prophage, with % coverage plotted against % identity to the NC-SV reference. Open circles indicate the absence of svsR , while pink symbols indicate its presence; triangle shapes denote svsR embedded within the cI gene. (E) NC-SV– related prophages found in non- E. coli Enterobacteriaceae genomes with ≥10% genome coverage. Each dot represents a genome, colored by species or strain. To evaluate the conservation of svsR among related phages, we examined E. coli genomes containing NC-SV–like prophages with ≥30% genome coverage. svsR was frequently present and often located within the cI repressor gene, as indicated by triangle symbols in Fig 5D . To determine whether NC-SV-related prophages are also prevalent beyond E. coli , we extended our analysis to a broader dataset of publicly available Enterobacteriaceae genomes. We identified NC-SV-like prophage sequences (≥10% genome coverage) in multiple genera, including Klebsiella, Enterobacter , Citrobacter , and Salmonella ( Fig 5E ). These findings suggest that NC-SV-like prophages—and potentially svsR —are widespread across the Enterobacteriaceae family. We next challenged NC101 ΔNC-SV expressing svsR with lytic phage. Expression of svsR did not significantly affect the growth of NC101 ΔNC-SV ( Fig 6A ) but did reduce bacterial lysis by RSB03 ( Fig 6B ) and decreased RSB03 plaque size by approximately half compared to empty vector controls ( Fig 6C and D ). Further, the svsR sRNA reduced RSB03 virion adsorption to NC101 ΔNC-SV cells ( Fig 6E ). These observations demonstrate that svsR expression recapitulates the protective effects of the NC-SV prophage. Download figure Open in new tab Figure 6. The svsR sRNA downregulates maltodextrin transport genes and protects E. coli from lytic phage infection. (A and B) Growth (OD 600 ) of NC101 ΔNC-SV carrying an empty expression construct or a svsR sRNA expression construct was measured at the indicated times post infection with lytic phage RSB03 at an MOI of one. Data are the mean ± SEM of three experiments. (C) Representative images of RSB03 plaques on the indicated lawns. (D) RSB03 plaque area was measured after 18 hours on lawns of NC101 ΔNC-SV expressing svsR in trans or empty vector control. (E) The percentage of RSB03 virions adsorbed to NC101 ΔNC-SV cells carrying the empty vector or the svsR expression vector was measured at the indicated times post infection with an initial MOI of one. Data are the mean ± SEM of three experiments; *P<0.05,***P<0.001. ( F ) Volcano plot showing the 83 differentially expressed genes in NC101 ΔNC-SV expressing svsR compared to the empty vector control with ±2-fold change and P≤0.05. Data are representative of quadruplicate experiments. ( G ) Gene enrichment analysis was performed on the significantly differentially regulated genes shown in panel F. To determine how svsR may affect the bacterial host independent of the NC-SV prophage, we performed RNAseq on NC101 ΔNC-SV cells carrying an empty expression vector or the svsR sRNA expression vector 10 minutes post infection by phage RSB03. In cells expressing svsR , 83 genes were significantly (P<0.05) differentially regulated at least two-fold compared to the empty vector control ( Fig 6F , Dataset 2 ). Gene enrichment analyses revealed that genes associated with maltodextrin transport, glycerol metabolism, N-acetylglucosamine transport, and colonic acid biosynthesis (related to biofilm formation in E. coli [ 56 ]) were significantly (P <0.05) over-represented ( Fig 6G ). Specifically, maltodextrin transport genes ( lamB, malE, malF, malK, malP, malT ) were downregulated, similar to the pattern of maltodextrin transport genes downregulated by the NC-SV prophage ( Fig 3 ), most notably the phage receptor lamB ( Fig 6F ). Additionally, other carbohydrate transport genes ( fruB, treB, treC, mglC, mglB, manX, manZ, manY, psuT, psuG ) were also downregulated ( Dataset 2 ) consistent with broader effects on bacterial host metabolism. Collectively, these results suggest that NC-SV encodes a co293-like sRNA called svsR that downregulates polysaccharide transport genes, including lamB , to reduce phage adsorption to E. coli NC101. Discussion Our study demonstrates that the lambda-like prophage NC-SV protects adherent-invasive E. coli from lytic phage infection by downregulating maltodextrin transport genes, including the phage receptor lamB . This regulation reduces virion adsorption to the bacterial surface and limits phage replication both in vitro and in vivo . These findings provide mechanistic insight into how prophages can modulate bacterial physiology to enhance survival under phage predation, which has implications for AIEC persistence in environments such as the inflamed IBD gut. Notably, NC-SV is also present in the prototypical AIEC strain LF82 [ 57 ], suggesting that its phage defense functions may be conserved among clinically relevant AIEC lineages. While prophage-conferred resistance to lytic phages is a well-established outcome of lysogenic conversion [ 5 ], the diversity of mechanisms involved remains underexplored. Our work adds to this body of research by showing that NC-SV confers indirect resistance via transcriptional regulation of host carbohydrate transport systems. By repressing maltodextrin transport genes, NC-SV limits the number of available receptors for phages that rely on LamB for adsorption. Beyond phage resistance, NC-SV–mediated repression of maltodextrin transport may also modulate AIEC metabolic fitness. Dietary maltodextrins—prevalent in Western diets—enhance AIEC colonization [ 16 ] but also induce LamB expression, thereby increasing phage susceptibility [ 19 , 20 ]. Thus, NC-SV may help AIEC navigate a trade-off between nutrient acquisition and phage vulnerability. This is consistent with emerging evidence linking bacterial metabolism to phage-host dynamics [ 58 – 61 ]. Our in vitro findings led us to evaluate whether NC-SV also confers protection in more complex, host-associated environments. Importantly, intestinal E. coli loads remained stable and comparable between mice colonized with NC101 and those colonized with NC101 ΔNC-SV , indicating that NC-SV does not affect bacterial abundance within the intestinal lumen. However, phage titers were significantly higher in feces and intestinal tissues of NC101 ΔNC-SV colonized mice, demonstrating that NC-SV restricts lytic phage replication in vivo . Notably, elevated phage loads in NC101-colonized mouse intestines correlated with reduced E. coli burden in extraintestinal tissues such as the liver and spleen, suggesting that NC-SV-mediated control of phage replication may also enhance bacterial dissemination beyond the gut or persistence in extraintestinal sites in the presence of lytic phage predation. To identify molecular mechanisms underlying these effects, we examined NC-SV-regulated transcriptional responses during phage infection. Our RNA sequencing data revealed that an sRNA called svsR encoded by NC-SV downregulates maltodextrin transport genes, including lamB . While the specific mechanism of action of this sRNA remains to be determined, sRNA-mediated gene regulation has emerged as an important mechanism for bacterial adaptation to environmental stressors. For example, in E. coli and Salmonella enterica, envelope stress induces the σ E -dependent pathway, which regulates, among other genes, the expression of sRNAs that cause an abrupt downregulation in the expression of numerous outer membrane proteins [ 62 ]. In S. enterica , one of these outer membrane proteins is LamB, which is downregulated at the mRNA level by the sRNA micA in an Hfq-dependent manner [ 63 ]. The svsR sRNA is encoded on the 3’ end of the cI gene. Notably, bacterial sRNAs are often encoded within diverse genomic contexts, including the 3′ ends of open reading frames. Some 3’ sRNAs are transcribed independently from internal promoters, while others are processed from the 3′ regions of mRNAs by RNase activity. For instance, the s roC sRNA in E. coli is derived from the 3′ region of the ygdR mRNA and plays a regulatory role by acting as an RNA sponge for GcvB [ 64 ]. Similarly, ryhB-2 , a homolog of the well-known iron-responsive sRNA ryhB , is transcribed from the 3′ end of the yhfA coding region [ 65 ]. How svsR is transcriptionally regulated or post-transcriptionally processed is presently unclear, and further studies will be necessary to elucidate its precise biogenesis and functional mechanisms. Nonetheless, our findings demonstrate that svsR plays a key role in downregulating a common phage receptor and conferring resistance to lytic phage infection, highlighting its functional importance. In addition to repressing lamB and other maltodextrin transport genes, svsR expression also altered transcription of genes involved in colanic acid biosynthesis ( Fig 6G ), a pathway known to impact bacterial survival in stressful environments. Colanic acid forms an exopolysaccharide capsule that can physically shield E. coli from lytic phage predation by blocking receptor access [ 66 ]. Its production is also sensitive to carbon source availability, with glucose suppressing and other conditions enhancing its expression [ 67 ]. Moreover, colanic acid has been implicated in increased serum resistance and enhanced survival in host-associated environments [ 68 ]. Thus, svsR-mediated modulation of colanic acid biosynthesis may further improve E. coli resistance to phage infection and promote survival or dissemination beyond the gut, as observed in our in vivo experiments. While its role in phage defense is clear, the specific targets of svsR remain unknown. For example, the sRNA encoded by the related e14 prophage targets the transcription factors hcaR and fadR , yet these genes were not differentially expressed in any of our RNAseq datasets, suggesting they are unlikely to be direct targets of svsR. Future studies will be needed to identify the regulatory targets and molecular interactions of svsR, as well as to determine whether it influences additional aspects of bacterial physiology beyond phage defense. Overall, this work highlights how prophages can rewire bacterial metabolism to influence interactions with phages. Beyond classical phage defense systems (e.g., restriction modification, CRISPR-Cas, etc.), bacteria may exploit prophage-encoded regulatory elements to balance nutrient acquisition with phage resistance. These strategies likely support bacterial persistence in dynamic environments like the gut, where microbial communities are continually shaped by diet, interaction with the mammalian immune system, and phage predation. A deeper understanding of prophage-driven metabolic regulation could ultimately guide the development of dietary or pharmacological interventions to modulate microbial ecosystems and mitigate dysbiosis. Methods Bacterial and Phage Strains, Growth Conditions, Plasmids, and Primers Bacterial strains, phages, plasmids, and their sources are listed in Table 2 . Primer sequences are listed in Table 3 . Unless indicated otherwise, bacteria were grown in LB at 37°C with shaking and supplemented with antibiotics or 0.1% arabinose when appropriate. Unless otherwise noted, antibiotics were used at the following concentrations: gentamicin (10 or 30 µg mL −1 ), ampicillin (100 µg mL −1 ), and carbenicillin (300 µg mL −1 ). View this table: View inline View popup Download powerpoint Table 2. Bacterial strains, phages, and plasmids. View this table: View inline View popup Download powerpoint Table 3. Primers Wastewater phage isolation and sequencing Samples were collected from the headwaters of the Missoula, Montana wastewater treatment plant. Collected samples were then plated onto lawns of E. coli NC101. Individual plaques were picked, plaque purified, and propagated in NC101 growing in LB broth. DNA was isolated from plaque purified phage isolates and sequenced by SeqCoast Genomics, LLC (Portsmouth, NH, USA). Phage genomes were assembled by SPAdes [ 71 ] and visualized using clinker [ 72 ]. Construction of NC101 prophage mutants Prophages NC-Ino, NC-MV, and NC-SV were individually deleted from the NC101 genome using pSLTS mediated genome editing [ 69 ]. Briefly, 5’ and 3’ ends of prophage mutation cassettes were designed with homology regions upstream and downstream of each prophage to be deleted and ordered as gene blocks (Azenta). Completed mutation cassettes for each prophage were constructed through Gibson Assembly using the primers listed in Table 3 to fuse 5’ and 3’ ends to a I-SceI cleavable kanamycin selectable marker and plasmid backbone from plasmid pT2SK. Completed prophage mutation cassettes were then introduced to NC101 cells containing the pSLTS helper plasmid via electroporation. pSLTS containing NC101 cells were induced with 2 mM L-arabinose to induce the expression of the lambda red recombinase to aid in recombination of mutation cassettes into the NC101 genome. Resulting colonies were screened for kanamycin resistance and sequenced to confirm successful mutation cassette integration. Once prophage deletions were confirmed, the kanamycin resistance marker was removed by plating PBS-resuspended colonies onto LB-amp plates containing 100 µg/mL anhydrotetracycline to induce the expression of the pSLTS encoded I-SceI endonuclease. Resulting colonies were then sequenced to confirm scarless deletions of each NC101 prophage. Plaque assays and plaque surface area measurements Plaque assays were performed using lawns of the indicated strains grown on the indicated plates. Phages in filtered supernatants were serially diluted 10× in PBS and spotted onto lawns of the indicated strain. Plaques were imaged after 18 h of growth at 37°C. Plaque surface area measurements were performed on individual plaques with image J. Growth curves Overnight cultures of the indicated strains were diluted to an OD 600 of 0.05 in 96-well plates containing LB and, if necessary, the appropriate antibiotics. After 3 h of growth at 37°C, strains were infected with the indicated phage and growth measurements resumed. OD 600 was measured using a CLARIOstar (BMG Labtech) plate reader at 37°C with shaking prior to each measurement. Phage adsorption assays Phage adsorption assays were performed as previously described [ 73 ]. Briefly, A 18 mL test tube containing 5 mL of LB was inoculated with 100 µL of an overnight culture of the indicated strain. The culture was incubated at 37°C with shaking at 200 RPM for 1 hour until it reached a density of approximately 1 × 10 8 cells/mL (OD ∼ 0.2). Fresh lysate containing 1 × 10 8 phages (N total ) was then added, and the mixture was incubated at 37°C without shaking. At the indicated times, 500 µL aliquots were collected and centrifuged at 4,000g for 1 minute at room temperature to pellet adsorbed phages. Dilutions of the supernatant from the centrifuged sample (representing unabsorbed phage) were plated to determine phage titers. The total phage count (N total ) and the free phage count (N free ) were calculated from plate counts using the equation: N adsorbed = N total – N free . Nutrient supplementation assays LB broth was diluted with water to 10% vol/vol. For experiments where LB agar plates were used, the dilute LB was supplemented with agar (1.5% w/vol). Glucose or maltodextrin was then supplemented to the dilute LB broth or LB agar to a final concentration of 40 mM. Plaque assays or phage adsorption assays were then performed as described above. Mouse model of intestinal adherent-invasive E. coli infection and enteral RSB03 treatment NC101 colonization and RSB03 treatment of SPF mice. Two cohorts of 6-week-old male specific pathogen free C57BL/6 mice (HK n =5, active RSB03 n =5) were ordered from Jackson Labs and housed in conventional cages with 5 mice per cage. 1×10 8 CFU E. coli were administered to each mouse via oral gavage for four consecutive days (days −29 to −26). Fecal pellets were collected once weekly following colonization to assess baseline E. coli density and confirm lack of baseline lytic phage activity in fecal pellets. On day 0, 3×10 7 PFU of RSB03 (or an equivalent volume of the heat-inactivated RSB03 from the same preparation) were administered by oral gavage in two doses, 7 hours apart. Fecal pellets were collected prior to the second dose of RSB03, then every 2-3 days for CFU and PFU quantification. For E. coli monoassociation and RSB03 treatment of germ-free mice. Two cohorts each containing 12 mice (6 female, 6 male) were housed with 2-4 mice per cage. Germ-free C57BL/6 mice were removed from germ-free isolators and placed into sterile HEPA filtered cages at 6-8 weeks of age. On day 3, each mouse was gavaged with 1×10 8 E. coli (either NC101 or NC101 ΔNC-SV ) as a single dose. Fecal pellets were collected three days following E. coli inoculation to quantify baseline E. coli density in feces and to confirm lack of baseline lytic phage activity in fecal pellets. From day 0 to day 4, RSB03 (1×10 8 PFU) was administered daily by oral gavage for five total doses. Fecal pellets were collected daily for E. coli CFU and PFU quantification prior to daily oral phage gavage. Additional fecal pellets were collected for analysis on experimental days 7, 11, and 15 following completion of RSB03 treatment. Intestinal contents and tissues, liver, and spleen were collected for CFU and PFU quantification on day 17. Quantification of CFU and PFU from mouse fecal pellets, mucus, and tissue samples Fecal pellets were longitudinally collected from live mice. Intestinal luminal contents from the colon and small intestine were removed following euthanasia for analysis at endpoints. Fecal samples were homogenized in HBSS with Ca 2+ /Mg 2+ (Corning 21-023-CV) by pipet disaggregation and vortexing for 30 seconds, centrifuged at 50 x g for 10 minutes to pellet fecal debris, and the supernatant was removed (fecal wash). Fecal wash samples were centrifuged at 2,500 x g for 10 minutes to pellet bacteria. The fecal wash supernatant (bacteriophage fraction) was centrifuged at 7,500 x g, 10 minutes, 4°C to pellet any residual bacteria, and supernatant was serially diluted in HBSS with Ca 2+ /Mg 2+ for PFU quantification. The remaining bacterial pellet was washed with HBSS, then resuspended in HBSS with Ca 2+ /Mg 2+ (bacterial fraction) and serially diluted for CFU enumeration. Intestinal tissues were thoroughly rinsed three times in PBS. To digest intestinal mucus, 1000 µl of HBSS without Ca 2+ /Mg 2+ (Corning 21-022-CV) with 10 mM HEPES and 1.5 mM DTT was added to each sample and incubated with shaking for 15 min at room temperature (mucus fraction). Intestinal tissue fragments were removed from mucus digestion and blotted to remove excess liquid. All tissues were homogenized in bead-beating tubes containing two sterile 6.35 mm stainless steel beads (BioSpec) and 0.3% Triton-X / HBSS with Ca 2+ /Mg 2+ using the Omni Bead Ruptor Bead Mill Homogenizer for 1 min, 4 m/s at room temperature. For PFU quantification, the mucus fraction and tissue homogenate were spun at 7500 x g, 10 min, 4°C to pellet bacteria and debris and supernatant was serially diluted for PFU quantification (phage fraction). For CFU quantification: The mucus fraction and tissue homogenates were serially diluted 1:10 in HBSS with Ca 2+ /Mg 2+ and plated on LB-chloramphenicol (30 µg/mL) plates. For fecal samples, 10 µl of each dilution was plated at four 1:10 serial dilutions, and the dilution resulting in countable single colonies was used to determine CFU/g feces. For PFU quantification: For all phage fractions, 100 µl of the phage fraction and 100 µl NC101 E. coli (OD 600 0.5-0.7) was added to 5 mL 0.6% soft LB top agar and poured over LB agar plates. Phage fractions were diluted in HBSS with Ca 2+ /Mg 2+ as needed to attain isolated plaques for counting. Plates were incubated overnight (12-18 hours) prior to counting phage plaques. RNA Purification and RNA-seq Total RNA was extracted from the indicated strains and conditions 10 minutes post phage infection using TRIzol. The integrity of the total cellular RNA was evaluated using RNA tape of Agilent TapeStation 2200 before library preparation. All RNA samples were of high integrity with a RIN score of 7.0 or more. rRNA was first depleted from 500 ng of each sample using MICROBExpress Kit (AM1905, Fisher) following the manufacture’s instruction. The rRNA-depleted total RNA was subjected to library preparation using NEBNext® Ultra™ II RNA Library Prep Kit (E7700, New England Biolabs) and barcoded with NEBNext Multiplex Oligos for Illumina (E7730, New England Biolabs) following the manufacturer’s instructions. The libraries were pooled with equal amounts of moles, further sequenced using MiSeq Reagent V3 (MS-102-3003, Illumina) for pair-ended, 600-bp reads, and demultiplexed using the build-in bcl2fastq code in Illumina sequence analysis pipeline. Raw sequencing reads have been deposited as part of BioProject PRJNA1225266 in the NCBI SRA database. RNA-seq Data Analysis RNAseq data analysis were performed as previously described [ 74 ]. Briefly, RNA-seq reads were aligned to the reference E. coli NC101 genome (GenBank: GCA_029542525.1), mapped to genomic features, and counted using Rsubread package v1.28.1 [ 75 ]. Count tables produced with Rsubread were normalized and tested for differential expression using edgeR v3.34.1 [ 76 ]. Genes with ≥twofold expression change and a P value below 0.05 were considered significantly differential. Functional classification and Gene Ontology (GO) enrichment analysis were performed using PANTHER classification system ( http://www.pantherdb.org/ ) [ 77 ]. RNA-seq analysis results were plotted with GraphPad Prism version 10. Structure prediction AlphaFold3 [ 78 ] was used to predict the structures of LamB trimers from E. coli NC101 and MG1655 or the putative sRNA encoded by NC-SV. Structures were visualized with ChimeraX-1.9 [ 79 , 80 ]. Transmission electron microscopy imaging Cells were grown to midlog (OD 600 0.4), infected with RSB03 (MOI 1) for one hour, washed with PBS, fixed with 4% formamide, and placed on a grid and negatively stained with uranyl acetate. Cells were imaged on a Tecnai Spirit 120 kV TEM. Statistical Analyses Unless specified otherwise, differences between datasets were evaluated by Student’s t test, using GraphPad Prism version 5.0. Longitudinal statistical comparisons between groups from in vivo experiments were performed using a mixed effects model with Geisser-Greenhouse correction, with individual timepoints assessed by Sidak’s multiple comparisons test. Mann-Whitney test was used for comparisons between two groups for in vivo experiments. Two-way ANOVA with Tukey’s multiple comparisons test was used for statistical comparisons between multiple groups in in vivo experiments. For all tests, a P value < 0.05 was considered statistically significant. Supporting Information Dataset 1. Differential gene expression in E. coli NC101 vs. NC101 ΔNC-SV during early lytic phage infection. RNAseq was performed on mid-log phase NC101 and NC101 ΔNC-SV cells grown in LB broth and collected 10 minutes post infection with lytic phage RSB03 (MOI = 1). Dataset includes normalized gene expression values and differential expression statistics. Dataset 2. Transcriptomic impact of svsR expression in NC101 ΔNC-SV during phage infection. RNAseq was performed on NC101 ΔNC-SV cells carrying either an empty vector or the svsR sRNA expression construct, collected 10 minutes post infection with lytic phage RSB03 (MOI = 1). Dataset includes normalized gene expression values and differential expression statistics. Acknowledgments This work was supported by NIH grant R01DK124317. P.R.S. was supported by P20GM103474. D.R.F. was supported by the NSF GRFP (366502). N.L.P was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Numbers UM1TR004409 and K12TR004413 and the Primary Children’s Hospital Foundation Early Career Development Award. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or other funding sources. Funder Information Declared National Institutes of Health, https://ror.org/01cwqze88 , R01DK124317 , P20GM103474 , UM1TR004409 , K12TR004413 National Science Foundation, https://ror.org/021nxhr62 , 366502 References 1. ↵ Sekulovic O , Meessen-Pinard M , Fortier LC . Prophage-stimulated toxin production in Clostridium difficile NAP1/027 lysogens . J Bacteriol . 2011 ; 193 ( 11 ): 2726 – 34 . Epub 2011/03/29. doi: 10.1128/JB.00787-10 . PubMed PMID: 21441508 ; PubMed Central PMCID: PMCPMC3133130 . OpenUrl Abstract / FREE Full Text 2. Barondess JJ , Beckwith J . A bacterial virulence determinant encoded by lysogenic coliphage lambda . Nature . 1990 ; 346 ( 6287 ): 871 – 4 . doi: 10.1038/346871a0 . PubMed PMID: 2144037 . OpenUrl CrossRef PubMed Web of Science 3. Waldor MK , Mekalanos JJ . Lysogenic conversion by a filamentous phage encoding cholera toxin . Science . 1996 ; 272 ( 5270 ): 1910 – 4 . Epub 1996/06/28. doi: 10.1126/science.272.5270.1910 . PubMed PMID: 8658163 . OpenUrl Abstract / FREE Full Text 4. Wang X , Kim Y , Ma Q , Hong SH , Pokusaeva K , Sturino JM , et al. Cryptic prophages help bacteria cope with adverse environments . Nat Commun . 2010 ; 1 : 147 . Epub 2011/01/27. doi: 10.1038/ncomms1146 . PubMed PMID: 21266997 ; PubMed Central PMCID: PMCPMC3105296 . OpenUrl CrossRef PubMed 5. ↵ Bondy-Denomy J , Qian J , Westra ER , Buckling A , Guttman DS , Davidson AR , et al. Prophages mediate defense against phage infection through diverse mechanisms . Isme J . 2016 ; 10 ( 12 ): 2854 – 66 . Epub 2016/06/04. doi: 10.1038/ismej.2016.79 . PubMed PMID: 27258950 ; PubMed Central PMCID: PMCPMC5148200 . OpenUrl CrossRef PubMed 6. ↵ Nishijima S , Nagata N , Kiguchi Y , Kojima Y , Miyoshi-Akiyama T , Kimura M , et al. Extensive gut virome variation and its associations with host and environmental factors in a population-level cohort . Nat Commun . 2022 ; 13 ( 1 ): 5252 . Epub 20220906. doi: 10.1038/s41467-022-32832-w . PubMed PMID: 36068216 ; PubMed Central PMCID: PMCPMC9448778 . OpenUrl CrossRef PubMed 7. ↵ Kirsch JM , Brzozowski RS , Faith D , Round JL , Secor PR , Duerkop BA . Bacteriophage-Bacteria Interactions in the Gut: From Invertebrates to Mammals . Annu Rev Virol . 2021 ; 8 ( 1 ): 95 – 113 . Epub 2021/07/14. doi: 10.1146/annurev-virology-091919-101238 . PubMed PMID: 34255542 ; PubMed Central PMCID: PMCPMC8484061 . OpenUrl CrossRef PubMed 8. ↵ Schmidt AK , Fitzpatrick AD , Schwartzkopf CM , Faith DR , Jennings LK , Coluccio A , et al. A Filamentous Bacteriophage Protein Inhibits Type IV Pili To Prevent Superinfection of Pseudomonas aeruginosa . MBio . 2022 : e0244121 . Epub 20220118. doi: 10.1128/mbio.02441-21 . PubMed PMID: 35038902 . OpenUrl CrossRef PubMed 9. ↵ Patel PH , Maxwell KL . Prophages provide a rich source of antiphage defense systems . Curr Opin Microbiol . 2023 ; 73 : 102321 . Epub 20230428. doi: 10.1016/j.mib.2023.102321 . PubMed PMID: 37121062 . OpenUrl CrossRef PubMed 10. ↵ Kitamoto S , Alteri CJ , Rodrigues M , Nagao-Kitamoto H , Sugihara K , Himpsl SD , et al. Dietary L-serine confers a competitive fitness advantage to Enterobacteriaceae in the inflamed gut . Nat Microbiol . 2020 ; 5 ( 1 ): 116 – 25 . Epub 20191104. doi: 10.1038/s41564-019-0591-6 . PubMed PMID: 31686025 ; PubMed Central PMCID: PMCPMC6925351 . OpenUrl CrossRef PubMed 11. ↵ Zhang S , Morgan X , Dogan B , Martin FP , Strickler S , Oka A , et al. Mucosal metabolites fuel the growth and virulence of E. coli linked to Crohn’s disease . JCI Insight . 2022 ; 7 ( 10 ). Epub 20220523. doi: 10.1172/jci.insight.157013 . PubMed PMID: 35413017 ; PubMed Central PMCID: PMCPMC9220930 . OpenUrl CrossRef PubMed 12. ↵ Wu GD , Bushmanc FD , Lewis JD . Diet, the human gut microbiota, and IBD . Anaerobe . 2013 ; 24 : 117 – 20 . Epub 20130330. doi: 10.1016/j.anaerobe.2013.03.011 . PubMed PMID: 23548695 . OpenUrl CrossRef PubMed 13. ↵ Arnold AR , Chassaing B. Maltodextrin , Modern Stressor of the Intestinal Environment . Cell Mol Gastroenterol Hepatol . 2019 ; 7 ( 2 ): 475 – 6 . Epub 20181017. doi: 10.1016/j.jcmgh.2018.09.014 . PubMed PMID: 30827413 ; PubMed Central PMCID: PMCPMC6409436 . OpenUrl CrossRef PubMed 14. ↵ Laudisi F , Di Fusco D , Dinallo V , Stolfi C , Di Grazia A , Marafini I , et al. The Food Additive Maltodextrin Promotes Endoplasmic Reticulum Stress-Driven Mucus Depletion and Exacerbates Intestinal Inflammation . Cell Mol Gastroenterol Hepatol . 2019 ; 7 ( 2 ): 457 – 73 . Epub 20180911. doi: 10.1016/j.jcmgh.2018.09.002 . PubMed PMID: 30765332 ; PubMed Central PMCID: PMCPMC6369223 . OpenUrl CrossRef PubMed 15. ↵ Nickerson KP , Homer CR , Kessler SP , Dixon LJ , Kabi A , Gordon IO , et al. The dietary polysaccharide maltodextrin promotes Salmonella survival and mucosal colonization in mice . PLoS One . 2014 ; 9 ( 7 ): e101789 . Epub 20140707. doi: 10.1371/journal.pone.0101789 . PubMed PMID: 25000398 ; PubMed Central PMCID: PMCPMC4084946 . OpenUrl CrossRef PubMed 16. ↵ Nickerson KP , McDonald C . Crohn’s disease-associated adherent-invasive Escherichia coli adhesion is enhanced by exposure to the ubiquitous dietary polysaccharide maltodextrin . PLoS One . 2012 ; 7 ( 12 ): e52132 . Epub 20121212. doi: 10.1371/journal.pone.0052132 . PubMed PMID: 23251695 ; PubMed Central PMCID: PMCPMC3520894 . OpenUrl CrossRef PubMed 17. ↵ Lee JG , Han DS , Jo SV , Lee AR , Park CH , Eun CS , et al. Characteristics and pathogenic role of adherent-invasive Escherichia coli in inflammatory bowel disease: Potential impact on clinical outcomes . PLoS One . 2019 ; 14 ( 4 ): e0216165 . Epub 2019/04/30. doi: 10.1371/journal.pone.0216165 . PubMed PMID: 31034508 ; PubMed Central PMCID: PMCPMC6488085 . OpenUrl CrossRef PubMed 18. ↵ Conte MP , Longhi C , Marazzato M , Conte AL , Aleandri M , Lepanto MS , et al. Adherent-invasive Escherichia coli (AIEC) in pediatric Crohn’s disease patients: phenotypic and genetic pathogenic features . BMC Res Notes . 2014 ; 7 : 748 . Epub 2014/10/24. doi: 10.1186/1756-0500-7-748 . PubMed PMID: 25338542 ; PubMed Central PMCID: PMCPMC4210564 . OpenUrl CrossRef PubMed 19. ↵ Wandersman C , Schwartz M , Ferenci T . Escherichia coli mutants impaired in maltodextrin transport . J Bacteriol . 1979 ; 140 ( 1 ): 1 – 13 . doi: 10.1128/jb.140.1.1-13.1979 . PubMed PMID: 387714 ; PubMed Central PMCID: PMCPMC216772 . OpenUrl Abstract / FREE Full Text 20. ↵ Boos W , Shuman H . Maltose/maltodextrin system of Escherichia coli: transport, metabolism, and regulation . Microbiol Mol Biol Rev . 1998 ; 62 ( 1 ): 204 – 29 . doi: 10.1128/MMBR.62.1.204-229.1998 . PubMed PMID: 9529892 ; PubMed Central PMCID: PMCPMC98911 . OpenUrl Abstract / FREE Full Text 21. ↵ Chen P , Sun H , Ren H , Liu W , Li G , Zhang C. LamB , OmpC, and the Core Lipopolysaccharide of Escherichia coli K-12 Function as Receptors of Bacteriophage Bp7 . J Virol . 2020 ; 94 ( 12 ). Epub 20200601. doi: 10.1128/JVI.00325-20 . PubMed PMID: 32238583 ; PubMed Central PMCID: PMCPMC7307102 . OpenUrl Abstract / FREE Full Text 22. ↵ Roa M . Interaction of bacteriophage K10 with its receptor, the lamB protein of Escherichia coli . J Bacteriol . 1979 ; 140 ( 2 ): 680 – 6 . doi: 10.1128/jb.140.2.680-686.1979 . PubMed PMID: 387746 ; PubMed Central PMCID: PMCPMC216697 . OpenUrl Abstract / FREE Full Text 23. ↵ Duerkop BA , Kleiner M , Paez-Espino D , Zhu W , Bushnell B , Hassell B , et al. Murine colitis reveals a disease-associated bacteriophage community . Nat Microbiol . 2018 ; 3 ( 9 ): 1023 – 31 . Epub 2018/07/25. doi: 10.1038/s41564-018-0210-y . PubMed PMID: 30038310 ; PubMed Central PMCID: PMCPMC6112176 . OpenUrl CrossRef PubMed 24. ↵ Gogokhia L , Buhrke K , Bell R , Hoffman B , Brown DG , Hanke-Gogokhia C , et al. Expansion of Bacteriophages Is Linked to Aggravated Intestinal Inflammation and Colitis . Cell Host Microbe . 2019 ; 25 ( 2 ): 285 – 99 e8. doi: 10.1016/j.chom.2019.01.008 . PubMed PMID: 30763538 ; PubMed Central PMCID: PMCPMC6885004 . OpenUrl CrossRef PubMed 25. ↵ Lepage P , Colombet J , Marteau P , Sime-Ngando T , Dore J , Leclerc M . Dysbiosis in inflammatory bowel disease: a role for bacteriophages? Gut . 2008 ; 57 ( 3 ): 424 – 5 . doi: 10.1136/gut.2007.134668 . PubMed PMID: 18268057 . OpenUrl FREE Full Text 26. ↵ Norman JM , Handley SA , Baldridge MT , Droit L , Liu CY , Keller BC , et al. Disease-specific alterations in the enteric virome in inflammatory bowel disease . Cell . 2015 ; 160 ( 3 ): 447 – 60 . Epub 2015/01/27. doi: 10.1016/j.cell.2015.01.002 . PubMed PMID: 25619688 ; PubMed Central PMCID: PMCPMC4312520 . OpenUrl CrossRef PubMed 27. ↵ Virgin HW . The virome in mammalian physiology and disease . Cell . 2014 ; 157 ( 1 ): 142 – 50 . doi: 10.1016/j.cell.2014.02.032 . PubMed PMID: 24679532 ; PubMed Central PMCID: PMCPMC3977141 . OpenUrl CrossRef PubMed Web of Science 28. ↵ Dippel R , Boos W . The maltodextrin system of Escherichia coli: metabolism and transport . J Bacteriol . 2005 ; 187 ( 24 ): 8322 – 31 . doi: 10.1128/JB.187.24.8322-8331.2005 . PubMed PMID: 16321936 ; PubMed Central PMCID: PMCPMC1316994 . OpenUrl Abstract / FREE Full Text 29. ↵ Heys SD , Park KG , McNurlan MA , Keenan RA , Miller JD , Eremin O , et al. Protein synthesis rates in colon and liver: stimulation by gastrointestinal pathologies . Gut . 1992 ; 33 ( 7 ): 976 – 81 . doi: 10.1136/gut.33.7.976 . PubMed PMID: 1644342 ; PubMed Central PMCID: PMCPMC1379417 . OpenUrl Abstract / FREE Full Text 30. Breuille D , Arnal M , Rambourdin F , Bayle G , Levieux D , Obled C . Sustained modifications of protein metabolism in various tissues in a rat model of long-lasting sepsis . Clin Sci (Lond) . 1998 ; 94 ( 4 ): 413 – 23 . doi: 10.1042/cs0940413 . PubMed PMID: 9640347 . OpenUrl Abstract / FREE Full Text 31. Mercier S , Breuille D , Mosoni L , Obled C , Patureau Mirand P . Chronic inflammation alters protein metabolism in several organs of adult rats . J Nutr . 2002 ; 132 ( 7 ): 1921 – 8 . doi: 10.1093/jn/132.7.1921 . PubMed PMID: 12097671 . OpenUrl Abstract / FREE Full Text 32. Stecher B . The Roles of Inflammation, Nutrient Availability and the Commensal Microbiota in Enteric Pathogen Infection . Microbiol Spectr . 2015 ; 3 ( 3 ). doi: 10.1128/microbiolspec.MBP-0008-2014 . PubMed PMID: 26185088 . OpenUrl CrossRef PubMed 33. ↵ Breuille D , Bechereau F , Buffiere C , Denis P , Pouyet C , Obled C . Beneficial effect of amino acid supplementation, especially cysteine, on body nitrogen economy in septic rats . Clin Nutr . 2006 ; 25 ( 4 ): 634 – 42 . Epub 20060104. doi: 10.1016/j.clnu.2005.11.009 . PubMed PMID: 16387396 . OpenUrl CrossRef PubMed 34. ↵ Shkoporov AN , Hill C . Bacteriophages of the Human Gut: The “Known Unknown” of the Microbiome . Cell Host Microbe . 2019 ; 25 ( 2 ): 195 – 209 . doi: 10.1016/j.chom.2019.01.017 . PubMed PMID: 30763534 . OpenUrl CrossRef PubMed 35. ↵ Savalia D , Westblade LF , Goel M , Florens L , Kemp P , Akulenko N , et al. Genomic and proteomic analysis of phiEco32, a novel Escherichia coli bacteriophage . J Mol Biol . 2008 ; 377 ( 3 ): 774 – 89 . Epub 20080111. doi: 10.1016/j.jmb.2007.12.077 . PubMed PMID: 18294652 ; PubMed Central PMCID: PMCPMC2587145 . OpenUrl CrossRef PubMed 36. ↵ Pavlova O , Lavysh D , Klimuk E , Djordjevic M , Ravcheev DA , Gelfand MS , et al. Temporal regulation of gene expression of the Escherichia coli bacteriophage phiEco32 . J Mol Biol . 2012 ; 416 ( 3 ): 389 – 99 . Epub 20120110. doi: 10.1016/j.jmb.2012.01.002 . PubMed PMID: 22261232 ; PubMed Central PMCID: PMCPMC3275717 . OpenUrl CrossRef PubMed 37. ↵ Clement JM , Hofnung M . Gene sequence of the lambda receptor, an outer membrane protein of E. coli K12 . Cell . 1981 ; 27 ( 3 Pt 2 ): 507 – 14 . doi: 10.1016/0092-8674(81)90392-5 . PubMed PMID: 6086106 . OpenUrl CrossRef PubMed Web of Science 38. Wandersman C , Moreno F , Schwartz M . Pleiotropic mutations rendering Escherichia coli K-12 resistant to bacteriophage TP1 . J Bacteriol . 1980 ; 143 ( 3 ): 1374 – 83 . doi: 10.1128/jb.143.3.1374-1383.1980 . PubMed PMID: 6997269 ; PubMed Central PMCID: PMCPMC294516 . OpenUrl Abstract / FREE Full Text 39. ↵ Gerbino KR , Borin JM , Ardell SM , Lee JJ , Corbett KD , Meyer JR . Bacteriophage Phi21’s receptor-binding protein evolves new functions through destabilizing mutations that generate non-genetic phenotypic heterogeneity . Virus Evol . 2024 ; 10 ( 1 ): veae049 . Epub 20240711. doi: 10.1093/ve/veae049 . PubMed PMID: 39170727 ; PubMed Central PMCID: PMCPMC11336670 . OpenUrl CrossRef PubMed 40. ↵ Schwartz M . The adsorption of coliphage lambda to its host: effect of variations in the surface density of receptor and in phage-receptor affinity . J Mol Biol . 1976 ; 103 ( 3 ): 521 – 36 . doi: 10.1016/0022-2836(76)90215-1 . PubMed PMID: 181582 . OpenUrl CrossRef PubMed Web of Science 41. ↵ Ge X , Wang J . Structural mechanism of bacteriophage lambda tail’s interaction with the bacterial receptor . Nat Commun . 2024 ; 15 ( 1 ): 4185 . Epub 20240517. doi: 10.1038/s41467-024-48686-3 . PubMed PMID: 38760367 ; PubMed Central PMCID: PMCPMC11101478 . OpenUrl CrossRef PubMed 42. ↵ Klebba PE , Hofnung M , Charbit A . A model of maltodextrin transport through the sugar-specific porin, LamB, based on deletion analysis . Embo J . 1994 ; 13 ( 19 ): 4670 – 5 . doi: 10.1002/j.1460-2075.1994.tb06790.x . PubMed PMID: 7925308 ; PubMed Central PMCID: PMCPMC395401 . OpenUrl CrossRef PubMed 43. ↵ Kellett GL . The facilitated component of intestinal glucose absorption . J Physiol . 2001 ; 531 (Pt 3 ): 585 – 95 . doi: 10.1111/j.1469-7793.2001.0585h.x . PubMed PMID: 11251042 ; PubMed Central PMCID: PMCPMC2278489 . OpenUrl CrossRef PubMed Web of Science 44. ↵ Ferraris RP , Yasharpour S , Lloyd KC , Mirzayan R , Diamond JM . Luminal glucose concentrations in the gut under normal conditions . Am J Physiol . 1990 ; 259 ( 5 Pt 1 ): G822 – 37 . doi: 10.1152/ajpgi.1990.259.5.G822 . PubMed PMID: 2240224 . OpenUrl CrossRef PubMed Web of Science 45. ↵ Sabri S , Nielsen LK , Vickers CE . Molecular control of sucrose utilization in Escherichia coli W, an efficient sucrose-utilizing strain . Appl Environ Microbiol . 2013 ; 79 ( 2 ): 478 – 87 . Epub 20121102. doi: 10.1128/AEM.02544-12 . PubMed PMID: 23124236 ; PubMed Central PMCID: PMCPMC3553775 . OpenUrl Abstract / FREE Full Text 46. ↵ Madikonda AK , Shaikh A , Khanra S , Yakkala H , Yellaboina S , Lin-Chao S , et al. Metabolic remodeling in Escherichia coli MG1655. A prophage e14-encoded small RNA, co293, post-transcriptionally regulates transcription factors HcaR and FadR . FEBS J. 2020 ; 287 ( 21 ): 4767 – 82 . Epub 20200228. doi: 10.1111/febs.15247 . PubMed PMID: 32061118 . OpenUrl CrossRef PubMed 47. Mehta P , Casjens S , Krishnaswamy S . Analysis of the lambdoid prophage element e14 in the E. coli K-12 genome . BMC Microbiol . 2004 ; 4 : 4 . Epub 20040120. doi: 10.1186/1471-2180-4-4 . PubMed PMID: 14733619 ; PubMed Central PMCID: PMCPMC331406 . OpenUrl CrossRef PubMed 48. Wang H , Yang CH , Lee G , Chang F , Wilson H , del Campillo-Campbell A , et al. Integration specificities of two lambdoid phages (21 and e14) that insert at the same attB site . J Bacteriol . 1997 ; 179 ( 18 ): 5705 – 11 . doi: 10.1128/jb.179.18.5705-5711.1997 . PubMed PMID: 9294425 ; PubMed Central PMCID: PMCPMC179457 . OpenUrl Abstract / FREE Full Text 49. Hill CW , Gray JA , Brody H . Use of the isocitrate dehydrogenase structural gene for attachment of e14 in Escherichia coli K-12 . J Bacteriol . 1989 ; 171 ( 7 ): 4083 – 4 . doi: 10.1128/jb.171.7.4083-4084.1989 . PubMed PMID: 2661545 ; PubMed Central PMCID: PMCPMC210168 . OpenUrl Abstract / FREE Full Text 50. Brody H , Hill CW . Attachment site of the genetic element e14 . J Bacteriol . 1988 ; 170 ( 5 ): 2040 – 4 . doi: 10.1128/jb.170.5.2040-2044.1988 . PubMed PMID: 3283103 ; PubMed Central PMCID: PMCPMC211083 . OpenUrl Abstract / FREE Full Text 51. ↵ Tjaden B , Saxena RM , Stolyar S , Haynor DR , Kolker E , Rosenow C . Transcriptome analysis of Escherichia coli using high-density oligonucleotide probe arrays . Nucleic Acids Res . 2002 ; 30 ( 17 ): 3732 – 8 . doi: 10.1093/nar/gkf505 . PubMed PMID: 12202758 ; PubMed Central PMCID: PMCPMC137427 . OpenUrl CrossRef PubMed Web of Science 52. ↵ Chakka D , Gudla R , Madikonda AK , Pandeeti EV , Parthasarathy S , Nandavaram A , et al. The Organophosphate Degradation (opd) Island-borne Esterase-induced Metabolic Diversion in Escherichia coli and Its Influence on p-Nitrophenol Degradation . J Biol Chem . 2015 ; 290 ( 50 ): 29920 – 30 . Epub 20151009. doi: 10.1074/jbc.M115.661249 . PubMed PMID: 26453310 ; PubMed Central PMCID: PMCPMC4705976 . OpenUrl Abstract / FREE Full Text 53. ↵ Hochschild A . The lambda switch: cI closes the gap in autoregulation . Curr Biol . 2002 ; 12 ( 3 ): R87 – 9 . doi: 10.1016/s0960-9822(02)00667-x . PubMed PMID: 11839286 . OpenUrl CrossRef PubMed 54. ↵ Sedlyarova N , Shamovsky I , Bharati BK , Epshtein V , Chen J , Gottesman S , et al. sRNA-Mediated Control of Transcription Termination in E. coli . Cell . 2016 ; 167 ( 1 ): 111 – 21 e13. doi: 10.1016/j.cell.2016.09.004 . PubMed PMID: 27662085 ; PubMed Central PMCID: PMCPMC5040353 . OpenUrl CrossRef PubMed 55. ↵ Ishikawa H , Otaka H , Maki K , Morita T , Aiba H . The functional Hfq-binding module of bacterial sRNAs consists of a double or single hairpin preceded by a U-rich sequence and followed by a 3’ poly(U) tail . RNA . 2012 ; 18 ( 5 ): 1062 – 74 . Epub 20120327. doi: 10.1261/rna.031575.111 . PubMed PMID: 22454537 ; PubMed Central PMCID: PMCPMC3334693 . OpenUrl Abstract / FREE Full Text 56. ↵ May T , Okabe S . Escherichia coli harboring a natural IncF conjugative F plasmid develops complex mature biofilms by stimulating synthesis of colanic acid and Curli . J Bacteriol . 2008 ; 190 ( 22 ): 7479 – 90 . Epub 20080912. doi: 10.1128/JB.00823-08 . PubMed PMID: 18790864 ; PubMed Central PMCID: PMCPMC2576669 . OpenUrl Abstract / FREE Full Text 57. ↵ Miquel S , Peyretaillade E , Claret L , de Vallee A , Dossat C , Vacherie B , et al. Complete genome sequence of Crohn’s disease-associated adherent-invasive E. coli strain LF82 . PLoS One . 2010 ; 5 ( 9 ). Epub 20100917. doi: 10.1371/journal.pone.0012714 . PubMed PMID: 20862302 ; PubMed Central PMCID: PMCPMC2941450 . OpenUrl CrossRef PubMed 58. ↵ Fitzpatrick AD , Taylor VL , Patel PH , Faith DR , Secor PR , Maxwell KL . Phage reprogramming of Pseudomonas aeruginosa amino acid metabolism drives efficient phage replication . MBio . 2025 : e0246624 . Epub 20250207. doi: 10.1128/mbio.02466-24 . PubMed PMID: 39918338 . OpenUrl CrossRef PubMed 59. De Smet J , Zimmermann M , Kogadeeva M , Ceyssens PJ , Vermaelen W , Blasdel B , et al. High coverage metabolomics analysis reveals phage-specific alterations to Pseudomonas aeruginosa physiology during infection . Isme J . 2016 ; 10 ( 8 ): 1823 – 35 . Epub 20160216. doi: 10.1038/ismej.2016.3 . PubMed PMID: 26882266 ; PubMed Central PMCID: PMCPMC5029163 . OpenUrl CrossRef PubMed 60. Kutter E , Bryan D , Ray G , Brewster E , Blasdel B , Guttman B . From Host to Phage Metabolism: Hot Tales of Phage T4’s Takeover of E. coli . Viruses . 2018 ; 10 ( 7 ). Epub 20180721. doi: 10.3390/v10070387 . PubMed PMID: 30037085 ; PubMed Central PMCID: PMCPMC6071114 . OpenUrl CrossRef PubMed 61. ↵ Li B , Liang J , Baniasadi HR , Phillips MA , Michael AJ . Functional polyamine metabolic enzymes and pathways encoded by the virosphere . Proc Natl Acad Sci U S A . 2023 ; 120 ( 9 ): e2214165120 . Epub 20230221. doi: 10.1073/pnas.2214165120 . PubMed PMID: 36802435 ; PubMed Central PMCID: PMCPMC9992855 . OpenUrl CrossRef PubMed 62. ↵ Ruiz N , Silhavy TJ . Sensing external stress: watchdogs of the Escherichia coli cell envelope . Curr Opin Microbiol . 2005 ; 8 ( 2 ): 122 – 6 . doi: 10.1016/j.mib.2005.02.013 . PubMed PMID: 15802241 . OpenUrl CrossRef PubMed Web of Science 63. ↵ Bossi L , Figueroa-Bossi N . A small RNA downregulates LamB maltoporin in Salmonella . Mol Microbiol . 2007 ; 65 ( 3 ): 799 – 810 . Epub 20070703. doi: 10.1111/j.1365-2958.2007.05829.x . PubMed PMID: 17608792 . OpenUrl CrossRef PubMed Web of Science 64. ↵ Miyakoshi M , Chao Y , Vogel J . Cross talk between ABC transporter mRNAs via a target mRNA-derived sponge of the GcvB small RNA . Embo J . 2015 ; 34 ( 11 ): 1478 – 92 . Epub 20150128. doi: 10.15252/embj.201490546 . PubMed PMID: 25630703 ; PubMed Central PMCID: PMCPMC4474525 . OpenUrl CrossRef PubMed 65. ↵ Chao Y , Papenfort K , Reinhardt R , Sharma CM , Vogel J . An atlas of Hfq-bound transcripts reveals 3’ UTRs as a genomic reservoir of regulatory small RNAs . Embo J . 2012 ; 31 ( 20 ): 4005 – 19 . Epub 20120824. doi: 10.1038/emboj.2012.229 . PubMed PMID: 22922465 ; PubMed Central PMCID: PMCPMC3474919 . OpenUrl CrossRef PubMed Web of Science 66. ↵ Mason G , Footer MJ , Rojas ER . Mechanosensation induces persistent bacterial growth during bacteriophage predation . MBio . 2023 ; 14 ( 6 ): e0276622 . Epub 20231101. doi: 10.1128/mbio.02766-22 . PubMed PMID: 37909775 ; PubMed Central PMCID: PMCPMC10746221 . OpenUrl CrossRef PubMed 67. ↵ Wang C , Zhang H , Wang J , Chen S , Wang Z , Zhao L , et al. Colanic acid biosynthesis in Escherichia coli is dependent on lipopolysaccharide structure and glucose availability . Microbiol Res . 2020 ; 239 : 126527 . Epub 20200618. doi: 10.1016/j.micres.2020.126527 . PubMed PMID: 32590169 . OpenUrl CrossRef PubMed 68. ↵ Miajlovic H , Cooke NM , Moran GP , Rogers TR , Smith SG . Response of extraintestinal pathogenic Escherichia coli to human serum reveals a protective role for Rcs-regulated exopolysaccharide colanic acid . Infect Immun . 2014 ; 82 ( 1 ): 298 – 305 . Epub 20131028. doi: 10.1128/IAI.00800-13 . PubMed PMID: 24166954 ; PubMed Central PMCID: PMCPMC3911843 . OpenUrl Abstract / FREE Full Text 69. ↵ Kim J , Webb AM , Kershner JP , Blaskowski S , Copley SD . A versatile and highly efficient method for scarless genome editing in Escherichia coli and Salmonella enterica . BMC Biotechnol . 2014 ; 14 : 84 . Epub 20140925. doi: 10.1186/1472-6750-14-84 . PubMed PMID: 25255806 ; PubMed Central PMCID: PMCPMC4236582 . OpenUrl CrossRef PubMed 70. Qiu D , Damron FH , Mima T , Schweizer HP , Yu HD . PBAD-based shuttle vectors for functional analysis of toxic and highly regulated genes in Pseudomonas and Burkholderia spp. and other bacteria . Appl Environ Microbiol . 2008 ; 74 ( 23 ): 7422 – 6 . Epub 2008/10/14. doi: 10.1128/AEM.01369-08 . PubMed PMID: 18849445 ; PubMed Central PMCID: PMCPMC2592904 . OpenUrl Abstract / FREE Full Text 71. ↵ Prjibelski A , Antipov D , Meleshko D , Lapidus A , Korobeynikov A . Using SPAdes De Novo Assembler . Curr Protoc Bioinformatics . 2020 ; 70 ( 1 ): e102 . doi: 10.1002/cpbi.102 . PubMed PMID: 32559359 . OpenUrl CrossRef PubMed 72. ↵ Gilchrist CLM , Chooi YH. clinker & clustermap.js: automatic generation of gene cluster comparison figures . Bioinformatics . 2021 ; 37 ( 16 ): 2473 – 5 . doi: 10.1093/bioinformatics/btab007 . PubMed PMID: 33459763 . OpenUrl CrossRef PubMed 73. ↵ Heineman RH , Bull JJ . Testing optimality with experimental evolution: lysis time in a bacteriophage . Evolution . 2007 ; 61 ( 7 ): 1695 – 709 . doi: 10.1111/j.1558-5646.2007.00132.x . PubMed PMID: 17598749 ; PubMed Central PMCID: PMCPMC1974807 . OpenUrl CrossRef PubMed Web of Science 74. ↵ de Mattos CD , Faith DR , Nemudryi AA , Schmidt AK , Bublitz DC , Hammond L , et al. Polyamines and linear DNA mediate bacterial threat assessment of bacteriophage infection . Proc Natl Acad Sci U S A . 2023 ; 120 ( 9 ): e2216430120 . Epub 20230221. doi: 10.1073/pnas.2216430120 . PubMed PMID: 36802441 . OpenUrl CrossRef PubMed 75. ↵ Liao Y , Smyth GK , Shi W . The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads . Nucleic Acids Res . 2019 ; 47 ( 8 ): e47 . doi: 10.1093/nar/gkz114 . PubMed PMID: 30783653 ; PubMed Central PMCID: PMCPMC6486549 . OpenUrl CrossRef PubMed 76. ↵ Robinson MD , McCarthy DJ , Smyth GK . edgeR: a Bioconductor package for differential expression analysis of digital gene expression data . Bioinformatics . 2010 ; 26 ( 1 ): 139 – 40 . Epub 20091111. doi: 10.1093/bioinformatics/btp616 . PubMed PMID: 19910308 ; PubMed Central PMCID: PMCPMC2796818 . OpenUrl CrossRef PubMed Web of Science 77. ↵ Mi H , Muruganujan A , Huang X , Ebert D , Mills C , Guo X , et al. Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0) . Nat Protoc . 2019 ; 14 ( 3 ): 703 – 21 . Epub 20190225. doi: 10.1038/s41596-019-0128-8 . PubMed PMID: 30804569 ; PubMed Central PMCID: PMCPMC6519457 . OpenUrl CrossRef PubMed 78. ↵ Abramson J , Adler J , Dunger J , Evans R , Green T , Pritzel A , et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3 . Nature . 2024 ; 630 ( 8016 ): 493 – 500 . Epub 20240508. doi: 10.1038/s41586-024-07487-w . PubMed PMID: 38718835 ; PubMed Central PMCID: PMCPMC11168924 . OpenUrl CrossRef PubMed 79. ↵ Pettersen EF , Goddard TD , Huang CC , Meng EC , Couch GS , Croll TI , et al. UCSF ChimeraX: Structure visualization for researchers, educators, and developers . Protein Sci . 2021 ; 30 ( 1 ): 70 – 82 . Epub 2020/09/04. doi: 10.1002/pro.3943 . PubMed PMID: 32881101 ; PubMed Central PMCID: PMCPMC7737788 . OpenUrl CrossRef PubMed 80. ↵ Meng EC , Goddard TD , Pettersen EF , Couch GS , Pearson ZJ , Morris JH , et al. UCSF ChimeraX: Tools for structure building and analysis . Protein Sci . 2023 ; 32 ( 11 ): e4792 . doi: 10.1002/pro.4792 . 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